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The mutual reinforcement of scientific and technological knowledge—a technology-level analysis

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  • Krzysztof Szczygielski

    (University of Warsaw)

  • Jerzy Mycielski

    (University of Warsaw)

Abstract

While the contribution of science to technological progress has been empirically confirmed, the literature looking at the positive feedback from technology to science remains limited, because of the constrained citation linkages. We apply a novel machine-learning-based method to attribute 2.5 million scientific articles to the categories of WIPO patent taxonomy. We then employ Granger causality analysis to study the coevolution of technological and scientific knowledge over more than 25 years. We demonstrate that the evolution of scientific output is a good predictor of the evolution of technology production, while the opposite effect is weaker. Looking at individual WIPO technology fields, we find significant effects in about one-third of categories.

Suggested Citation

  • Krzysztof Szczygielski & Jerzy Mycielski, 2024. "The mutual reinforcement of scientific and technological knowledge—a technology-level analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 6533-6549, November.
    • Handle: RePEc:spr:scient:v:129:y:2024:i:11:d:10.1007_s11192-024-05162-5
    DOI: 10.1007/s11192-024-05162-5
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    1. Ashish Arora & Sharon Belenzon & Andrea Patacconi & Jungkyu Suh, 2020. "The Changing Structure of American Innovation: Some Cautionary Remarks for Economic Growth," Innovation Policy and the Economy, University of Chicago Press, vol. 20(1), pages 39-93.
    2. Schnitzer, Monika & Krieger, Joshua & Watzinger, Martin, 2019. "Standing on the shoulders of science," CEPR Discussion Papers 13766, C.E.P.R. Discussion Papers.
    3. Meyer, Martin, 2006. "Are patenting scientists the better scholars?: An exploratory comparison of inventor-authors with their non-inventing peers in nano-science and technology," Research Policy, Elsevier, vol. 35(10), pages 1646-1662, December.
    4. de Rassenfosse, Gaétan & Dernis, Hélène & Guellec, Dominique & Picci, Lucio & van Pottelsberghe de la Potterie, Bruno, 2013. "The worldwide count of priority patents: A new indicator of inventive activity," Research Policy, Elsevier, vol. 42(3), pages 720-737.
    5. Wolfgang Glänzel & Martin Meyer, 2003. "Patents cited in the scientific literature: An exploratory study of 'reverse' citation relations," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 415-428, October.
    6. Leonid Kogan & Dimitris Papanikolaou & Amit Seru & Noah Stoffman, 2017. "Technological Innovation, Resource Allocation, and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 665-712.
    7. Ke, Qing, 2018. "Comparing scientific and technological impact of biomedical research," Journal of Informetrics, Elsevier, vol. 12(3), pages 706-717.
    8. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    9. Arora, Ashish & Gambardella, Alfonso, 1994. "The changing technology of technological change: general and abstract knowledge and the division of innovative labour," Research Policy, Elsevier, vol. 23(5), pages 523-532, September.
    10. Fang Han & Christopher L. Magee, 2018. "Testing the science/technology relationship by analysis of patent citations of scientific papers after decomposition of both science and technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 767-796, August.
    11. Pierre Azoulay & Waverly Ding & Toby Stuart, 2009. "The Impact Of Academic Patenting On The Rate, Quality And Direction Of (Public) Research Output," Journal of Industrial Economics, Wiley Blackwell, vol. 57(4), pages 637-676, December.
    12. Malerba, Franco, 2002. "Sectoral systems of innovation and production," Research Policy, Elsevier, vol. 31(2), pages 247-264, February.
    13. Wang, Jian & Verberne, Suzan, 2024. "Comparing patent in-text and front-page references to science," Journal of Informetrics, Elsevier, vol. 18(4).
    14. Xu, Haiyun & Winnink, Jos & Yue, Zenghui & Liu, Ziqiang & Yuan, Guoting, 2020. "Topic-linked innovation paths in science and technology," Journal of Informetrics, Elsevier, vol. 14(2).
    15. Ke, Qing, 2020. "Technological impact of biomedical research: The role of basicness and novelty," Research Policy, Elsevier, vol. 49(7).
    16. Triacca, Umberto, 1998. "Non-causality: The role of the omitted variables," Economics Letters, Elsevier, vol. 60(3), pages 317-320, September.
    17. Ashish Arora & Sharon Belenzon & Jungkyu Suh, 2022. "Science and the Market for Technology," Management Science, INFORMS, vol. 68(10), pages 7176-7201, October.
    18. Lutkepohl, Helmut, 1982. "Non-causality due to omitted variables," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 367-378, August.
    19. Lee Fleming & Olav Sorenson, 2004. "Science as a map in technological search," Strategic Management Journal, Wiley Blackwell, vol. 25(8‐9), pages 909-928, August.
    20. Agarwal, Rajshree & Shah, Sonali K., 2014. "Knowledge sources of entrepreneurship: Firm formation by academic, user and employee innovators," Research Policy, Elsevier, vol. 43(7), pages 1109-1133.
    21. Jorgenson, Dale W. & Vu, Khuong M., 2016. "The ICT revolution, world economic growth, and policy issues," Telecommunications Policy, Elsevier, vol. 40(5), pages 383-397.
    22. Felix Poege & Dietmar Harhoff & Fabian Gaessler & Stefano Baruffaldi, 2019. "Science Quality and the Value of Inventions," Papers 1903.05020, arXiv.org, revised Apr 2019.
    23. Ba, Zhichao & Liang, Zhentao, 2021. "A novel approach to measuring science-technology linkage: From the perspective of knowledge network coupling," Journal of Informetrics, Elsevier, vol. 15(3).
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    More about this item

    Keywords

    Science; Technology; Patent data; Bibliometric studies; Machine learning; Granger causality; WIPO taxonomy;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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